Design concept evaluation based on rough number and information entropy theory

Jie Hu; Guoniu Zhu; Jin Qi; Yinghong Peng; Xiaohong Peng

doi:10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.257

Design concept evaluation based on rough number and information entropy theory

Jie Hu, Guoniu Zhu, Jin Qi, Yinghong Peng, Xiaohong Peng

Adaptive Communications Networks Research Group

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes.

Original language	English
Title of host publication	Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
Editors	Jianhua Ma, Laurence T. Yang, Huansheng Ning, Ali Li
Place of Publication	Piscataway, NJ (US)
Publisher	IEEE
Pages	1425-1431
Number of pages	7
ISBN (Print)	978-1-4673-7211-4
DOIs	https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.257 https://doi.org/http://ieeexplore.ieee.org/document/7518436/?arnumber=7518436
Publication status	Published - 21 Jul 2016
Event	2015 Smart World Congress: 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops - Beijing, China Duration: 10 Aug 2015 → 14 Aug 2015

Congress

Congress	2015 Smart World Congress
Abbreviated title	UIC-ATC-ScalCom-CBDCom-IoP 2015
Country/Territory	China
City	Beijing
Period	10/08/15 → 14/08/15

Bibliographical note

-© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

composite performance value
design concept evaluation
information entropy
rough number
subjectivity

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Design concept evaluation_rough number and information entropy theory
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Hu, J., Zhu, G., Qi, J., Peng, Y., & Peng, X. (2016). Design concept evaluation based on rough number and information entropy theory. In J. Ma, L. T. Yang, H. Ning, & A. Li (Eds.), Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 (pp. 1425-1431). IEEE. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.257, https://doi.org/http://ieeexplore.ieee.org/document/7518436/?arnumber=7518436

Hu, Jie ; Zhu, Guoniu ; Qi, Jin et al. / Design concept evaluation based on rough number and information entropy theory. Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. editor / Jianhua Ma ; Laurence T. Yang ; Huansheng Ning ; Ali Li. Piscataway, NJ (US) : IEEE, 2016. pp. 1425-1431

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author = "Jie Hu and Guoniu Zhu and Jin Qi and Yinghong Peng and Xiaohong Peng",

note = "-{\textcopyright} 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2015 Smart World Congress : 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 ; Conference date: 10-08-2015 Through 14-08-2015",

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booktitle = "Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015",

publisher = "IEEE",

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Hu, J, Zhu, G, Qi, J, Peng, Y & Peng, X 2016, Design concept evaluation based on rough number and information entropy theory. in J Ma, LT Yang, H Ning & A Li (eds), Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. IEEE, Piscataway, NJ (US), pp. 1425-1431, 2015 Smart World Congress, Beijing, China, 10/08/15. https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.257, https://doi.org/http://ieeexplore.ieee.org/document/7518436/?arnumber=7518436

Design concept evaluation based on rough number and information entropy theory. / Hu, Jie; Zhu, Guoniu; Qi, Jin et al.
Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. ed. / Jianhua Ma; Laurence T. Yang; Huansheng Ning; Ali Li. Piscataway, NJ (US): IEEE, 2016. p. 1425-1431.

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Hu, Jie

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AU - Qi, Jin

AU - Peng, Yinghong

AU - Peng, Xiaohong

N1 - -© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2016/7/21

Y1 - 2016/7/21

N2 - Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes.

AB - Concept evaluation at the early phase of product development plays a crucial role in new product development. It determines the direction of the subsequent design activities. However, the evaluation information at this stage mainly comes from experts' judgments, which is subjective and imprecise. How to manage the subjectivity to reduce the evaluation bias is a big challenge in design concept evaluation. This paper proposes a comprehensive evaluation method which combines information entropy theory and rough number. Rough number is first presented to aggregate individual judgments and priorities and to manipulate the vagueness under a group decision-making environment. A rough number based information entropy method is proposed to determine the relative weights of evaluation criteria. The composite performance values based on rough number are then calculated to rank the candidate design concepts. The results from a practical case study on the concept evaluation of an industrial robot design show that the integrated evaluation model can effectively strengthen the objectivity across the decision-making processes.

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Hu J, Zhu G, Qi J, Peng Y, Peng X. Design concept evaluation based on rough number and information entropy theory. In Ma J, Yang LT, Ning H, Li A, editors, Proceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015. Piscataway, NJ (US): IEEE. 2016. p. 1425-1431 doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.257, http://ieeexplore.ieee.org/document/7518436/?arnumber=7518436

Design concept evaluation based on rough number and information entropy theory

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Keywords

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